Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Nature Careers
- Umeå University
- SciLifeLab
- University of Cambridge
- Vrije Universiteit Brussel
- ; Cranfield University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Leeds
- ; University of Warwick
- Cranfield University
- DAAD
- Forschungszentrum Jülich
- Leibniz
- Leiden University
- Leipzig University •
- Memorial Sloan-Kettering Cancer Center
- Molde University College
- Monash University
- NTNU - Norwegian University of Science and Technology
- RMIT University
- UiT The Arctic University of Norway
- University of Adelaide
- University of Antwerp
- University of Delaware
- University of Luxembourg
- University of Southern Denmark
- VIB
- 19 more »
- « less
-
Field
-
) biological knowledge about GRNs from bioinformatics and system biology, (b) graph theory and topological data analysis for network modeling from mathematics, and (c) robust machine learning (ML) and GenAI from
-
, graph theory, satisfiability problems, discrete optimization. Strong interests in chemistry as well as proven competences in programming and ease with formal thinking are a necessity. This PhD project is
-
-regulatory networks. Following cis-GRN network reconstruction and formal graph analysis, we will identify key regulatory factors governing cell-type specific response to CMT-causing mutations. Finally, we will
-
Lviv, Ukraine. The current research topics include disorder effects on phase transitions (diluted ferromagnets, long-range correlated defects, spin glasses, random graphs and networks), long-range
-
, graph theory, satisfiability problems, discrete optimization. Strong interests in chemistry as well as proven competences in programming and ease with formal thinking are a necessity. This PhD project is
-
integrate these data into the cis-regulatory networks. Following cis-GRN network reconstruction and formal graph analysis, we will identified key regulatory factors governing cell-type specific reponse to CMT
-
. Alternative approaches are graph-based molecule reaction space sampling and generative machine learning as they provide a path to new synthetic data that can form the basis for a large-scale database of
-
and polyploid crop species and benchmark them against other methods such as graph-based methods. This project will combine algorithm development and computational programming with large population
-
). "Statistical field theory applied to complex networks” "Quantum geometrogenesis – Graph theoretic approaches to building spacetime” web page For further details or to discuss alternative project arrangements